Mining bioinformatics data is an emerging area at the intersection between
bioinformatics and data mining. The objective of the IJDMB is to facilitate
collaboration between data mining researchers and bioinformaticians by
presenting cutting edge research topics and methodologies in the area of
data mining for bioinformatics. This perspective acknowledges the
inter-disciplinary nature of the research in data mining and bioinformatics
and provides a unified forum for researchers/practitioners/students/policy
makers to share the latest research and developments in this fast growing
multi-disciplinary research area.

IJDMB aims to publish the latest research and development results and
experiences in the areas of bioinformatics, data mining and knowledge
discovery, and the role of data mining techniques and methods in integrating
and interpreting the bioinformatics data sets and improving effectiveness
and/or efficiency and quality for bioinformatics data analysis.

The major objective of IJDMB is to stimulate new multidisciplinary research
and the development of cutting-edge data mining methods, techniques and
tools to solve problems in bioinformatics. The goal is to help readers
understand state-of-the-art techniques/algorithms/methods in bioinformatics
data gathering, data pre-processing, data mining and data management.

IJDMB provides a forum to help academics, practitioners, post-graduates and
policy makers, working in the area of data mining, data integration and
management, bioinformatics, life sciences, healthcare, etc., to disseminate
information and to learn from each other's work.

The intended audiences are data mining researchers/practitioners;
bioinformatics specialists in academia and industry; chemists; system
biologists/molecular biologists who rely on computer tools for data
integration, data management, data analysis; mathematicians/statisticians
who are interested in model development and simulation for life science
data; computer scientists; post-graduate students with interests in
developing and/or applying novel algorithms/methods in biology/biomedical
domains.